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Neural Signal Processing Jobs in Colorado (NOW HIRING)

Sr. AI Engineer

Lone Tree, CO

$106K - $146K/yr

Lead the design and development of advanced machine learning models, including deep neural networks ... Lead the development and integration of signal processing, computer vision, and planning algorithms ...

New

Sr AI/ML Engineer

Lone Tree, CO

$106K - $146K/yr

Develop signal processing, perception, and planning pipelines supporting MPC control loops. * Use ... Demonstrated ability to design and optimize generative AI models (e.g., transformers) and neural ...

New

Develop signal processing, perception, and planning pipelines supporting MPC control loops. * Use ... Demonstrated ability to design and optimize generative AI models (e.g., transformers) and neural ...

New

Lead the design and development of advanced machine learning models, including deep neural networks ... Lead the development and integration of signal processing, computer vision, and planning algorithms ...

Lead the design and development of advanced machine learning models, including deep neural networks ... Lead the development and integration of signal processing, computer vision, and planning algorithms ...

Lead the design and development of advanced machine learning models, including deep neural networks ... Lead the development and integration of signal processing, computer vision, and planning algorithms ...

AI Engineer III

Lone Tree, CO · On-site

$58.75 - $79/hr

Lead the design and development of advanced machine learning models, including deep neural networks ... Lead the development and integration of signal processing, computer vision, and planning algorithms ...

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Showing results 1-20

Neural Signal Processing information

What is the difference between Neural Signal Processing vs Neural Data Analyst?

AspectNeural Signal ProcessingNeural Data Analyst
Required CredentialsBackground in neuroscience, signal processing, programming (Python, MATLAB)Statistics, data analysis, programming (Python, R)
Work EnvironmentResearch labs, healthcare, neurotechnology companiesData-focused roles in research institutions, healthcare, biotech
Industry UsageDesigning algorithms for neural signals, signal decodingAnalyzing neural data sets, interpreting results

Neural Signal Processing involves developing algorithms to analyze and interpret neural signals, often requiring expertise in signal processing and neuroscience. Neural Data Analysts focus on examining neural data sets to extract insights, emphasizing statistical analysis and data interpretation. While both roles work with neural data, Neural Signal Processing is more technical and algorithm-driven, whereas Neural Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals in neural signal processing roles, and how can they be addressed?

Professionals in neural signal processing often face challenges such as managing noisy or artifact-laden data, ensuring real-time processing capabilities, and integrating signals from multiple modalities (e.g., EEG, fMRI). Addressing these challenges typically involves staying updated on advanced filtering techniques, collaborating closely with neuroscientists and engineers, and leveraging robust software tools for data analysis. Continuous learning and teamwork are essential, as projects often require interdisciplinary cooperation and adaptation to evolving research protocols.

What are the key skills and qualifications needed to thrive as a Neural Signal Processing specialist, and why are they important?

To thrive in Neural Signal Processing, you need a solid background in neuroscience, signal processing, and programming, often supported by an advanced degree in biomedical engineering, neuroscience, or related fields. Familiarity with tools like MATLAB, Python, EEG/MEG analysis software, and machine learning frameworks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, advancement of brain-computer interfaces, and successful contributions to neuroscience research.

What is neural signal processing?

Neural signal processing is the analysis and interpretation of electrical signals generated by neurons in the brain or nervous system. This field combines neuroscience, engineering, and computer science to develop methods and algorithms that can decode, filter, and make sense of complex neural data. Applications include brain-computer interfaces, medical diagnostics, and research into how the brain functions. Neural signal processing is critical for advancing our understanding of neural circuits and developing new treatments for neurological disorders.
What cities in Colorado are hiring for Neural Signal Processing jobs? Cities in Colorado with the most Neural Signal Processing job openings:
Sr. AI Engineer

$106K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 hours ago

New


Sierra Nevada Corporation rating

8.6

Company rating: 8.6 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

17th of 61 rated aerospace companies


Job description

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading the development of complex AI/ML systems, driving innovation, and mentoring team members to deliver impactful solutions. In this role, you will oversee the design, implementation, and deployment of scalable AI/ML models for mission-critical aerospace and defense applications. You will also act as a technical leader, providing strategic guidance on AI/ML initiatives, ensuring compliance with regulatory standards, and collaborating with stakeholders to meet organizational objectives. This position demands advanced technical expertise and the ability to manage high-impact projects in a fast-paced environment.The ISR (Intelligence, Surveillance & Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems. Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance & Reconnaissance (C4ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support. IAS tailors solutions to customer cost, performance, and schedule requirements and designs to consistently exceed expectations - with an unrivaled record of on time and on (or under) budget deliveries.

Responsibilities:

  • Lead the design and development of advanced machine learning models, including deep neural networks, reinforcement learning systems, and generative AI algorithms, to solve complex problems.
  • Architect scalable AI/ML systems that can integrate seamlessly with existing software and hardware platforms. Provide guidance on theselectionof tools, frameworks, and infrastructure.

  • Collaborate with systems engineers, hardware teams, and data scientists to align AI/ML solutions with mission-specific requirements and constraints.

  • Manage AI/ML projects, including scoping, resource allocation, and timeline management, ensuring that deliverables meet quality and performance expectations.

  • Develop and oversee robust validation and testing frameworks to ensure that AI/ML models meet performance, safety, and compliance standards in real-world scenarios.

  • Mentor junior engineers,providingtechnical guidance and fostering a collaborative, innovative team environment.

  • Stay current with emerging AI/ML technologies and propose innovative solutions to address new and existing challenges in the aerospace and defense domain.

  • Communicate technical concepts, project progress, and outcomes to stakeholders, including leadership and external partners, in a clear and concise manner.

  • Independently train, fine-tune, andoptimizeadvanced AI architectures (including transformers) for complex applications.

  • Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to solve domain-specific challenges.

  • Lead the development and integration of signal processing, computer vision, and planning algorithms to advance autonomous system functionality.

  • Design and execute large-scale simulations and modeling of AI/ML systems, ensuring scalability, performance, and robustness on CPU/GPU platforms.

  • Lead rigorous validation and verification activities, ensuring deliverables meet performance, safety, and reliability requirements.

Qualifications You Must Have:

  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
  • 10+ years of experience in a related field.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 12 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques, including supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic). Demonstrated ability to design and optimize generative AI models (e.g., transformers) and neural networks for complex applications.
  • Extensive experience architecting, deploying, and optimizing AI/ML systems, including ANNs, CNNs, and RNNs, in large-scale or mission-critical environments. Led efforts to improve model performance and reliability in production settings.
  • Strong proficiency in programming languages such as Python, C++, C# or Java, with experience in building scalable AI/ML systems.
  • Demonstrated experience leading teams or projects, including mentoring junior staff.
  • Proven track record of deploying AI/ML models in production environments and optimizing them for real-world use cases.
  • Knowledge of regulatory and cybersecurity requirements for AI/ML systems in aerospace and defense applications.
  • Active Secret US Security Clearance

Qualifications We Prefer:

  • Master's degree + additional years experience, or Ph.D. in Artificial Intelligence, Machine Learning, or a related field.
  • Experience with hardware acceleration technologies (e.g., CUDA, TensorRT) and high-performance computing systems.
  • Background in autonomous systems, robotics, or sensor fusion.
  • Familiarity with Agile/DevOps methodologies for software development.
  • Certifications in AI/ML or related fields, such as AWS Certified Machine Learning Specialty or Google Professional Machine Learning Engineer.
  • Deep understanding and practical application of Agile/DevOps in large-scale AI/ML projects.
  • Demonstrated experience with reinforcement learning and generative AI models in production or research settings.
  • Advanced proficiency in GPU programming, parallel/distributed computing, and optimizing ML workloads for performance.
  • Expertise in designing and implementing complex ML pipelines, including clustering, dimensionality reduction, generative modeling, and reinforcement learning, aligned to mission objectives and HMI systems.
  • Skilled in analyzing massive, multi-source datasets and delivering end-to-end autonomy software solutions, from requirements to deployment and maintenance.
  • Working knowledge of hardware acceleration technologies (CUDA, TensorRT), edge AI deployments, and explainable AI (XAI) methods.
  • Exposure to or interest in quantum computing for ML applications.

Essential Functions:

  • Lead and manage AI/ML projects, including end-to-end development and deployment.
  • Collaborate with cross-functional teams and oversee the integration of AI/ML systems into complex aerospace platforms.
  • Travel occasionally (10-20%) to customer sites, testing facilities, or conferences to support project initiatives.
  • Work in a hybrid office environment, balancing technical leadership with hands-on development work.
  • Ensure compliance with safety, regulatory, and cybersecurity standards for AI/ML systems.

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

Estimated Starting Salary Range: $143,487.14 - $197,294.82. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.

SNC offers annual incentive pay based upon performance that is commensurate with the level of the position.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.


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